ArticleAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference2013
Automated measurement of skull circumference, cranial index, and braincase volume from pediatric computed tomography.
Article in Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- Smartphone 3D Scanning Technology and 3D Semi-Synthetic Data for Processing Infant Head Deformities Using Artificial Intelligence.Sensors (Basel, Switzerland) · 2026Article
- Head circumference assessment in pediatric MRI: a pilot study of manual measurement methods and automated segmentation-based alternatives.Frontiers in neuroscience · 2026Article
- Measuring the Head Circumference on MRI in Children: an Interrater Study.Clinical neuroradiology · 2021Article
- Measuring Maximum Head Circumference Within the Picture Archiving and Communication System: A Fully Automatic Approach.Frontiers in pediatrics · 2021Article
- Head circumference - a useful single parameter for skull volume development in cranial growth analysis?Head & face medicine · 2018Article
- Effects of open and endoscopic surgery on skull growth and calvarial vault volumes in sagittal synostosis.The Journal of craniofacial surgery · 2015Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Normative values of pediatric skull circumference, cranial index, and braincase volume would inform multiple disciplines including neurosurgery, plastic surgery and anthropology. Semi-automated methods exist for obtaining these data but are time consuming and require expertise. We report on a new method for automated extraction of in vivo measures of pediatric crania based on x-ray computed tomography scans (CT). Data were obtained from a clinical image repository for pediatric populations in whom no pathology was noted. The automated process showed good agreement with semi-automated measures, although there was a small bias for both braincase volume and circumference. We developed an open source program to automatically extract measures of skull circumference, cranial index, and braincase volume that are likely to prove useful in multiple disciplines.
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Registered trials
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